Analysing the potential of plant clinics to boost crop protection in Rwanda through adoption of IPM: the case of maize and maize stem borers
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Maize plays an important role in the livelihoods of rural communities in Rwanda. However, maize yields are threatened by the presence of pests and diseases and a general lack of knowledge and information for their management. In this study we sought to assess if plant clinics are making farmers more aware and knowledgeable of pests and diseases and are indirectly contributing to higher yields. We interviewed 644 farmers across Rwanda, both users and non-users of plant clinics. Propensity score matching was used to match the users and non-users of plant clinics and logistic regression was used to assess a number of factors, including interactions with plant clinics, that affect farmers’ adoption of pest management practices. Our analysis shows that users of plant clinics are more aware and knowledgeable in recognizing and handling maize stem borers. Furthermore, users of plant clinics have on average higher yields than non-users and this difference is highly significant (P < 0.001). The analysis therefore demonstrates that plant clinics are beneficial to farmers in Rwanda. However, efforts are required to diversify the spectrum of practices that are promoted by plant clinics and by extension and advisory services in Rwanda.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it